Curriculum Vitae

Work experience

• 2016 - 2021: Research Fellow at Max Planck Institute for Innovation and Competition
  • Design and implementation of quantitative research projects
  • Regression analysis, machine learning and data visualization (R, Python and Stata)
  • ETL and construction of a database for full text data of technical standards (R, Python and MySQL)
  • Supervision and guidance of research assistants
  • Presentation of research projects at international conferences and workshops
• 2016: Research Assistant and Master Thesis at Centre for European Economic Research
  • Data collection and construction of a panel data set (Stata)
  • Estimation of dynamic panel data models for the analysis of public R&D (Stata)
• 2015: Intern at BHF-BANK AG
  • Analysis of companies and generation of investment ideas (Bloomberg)
  • Supporting projects related to politics and economics
• 2014: Intern at Carl Zeiss AG
  • Market and company analyses in the U.S. market for ophthalmology
  • Assistance in an internal initiative for the promotion of digitization and creation of new business models in the digital world
• 2014: Research Assistant at Centre for European Economic Research
  • Implementation of an algorithm for generalized linear models in R
  • R package development (‘icdglm’ published on CRAN)
  • Comparison of administrative micro data sets
  • Search related to statistical methods for measurement accuracy
• 2012 - 2013: Intern and Bachelor Thesis at German Cancer Research Center
  • Support with particle beam experiments and readout of detectors using a confocal laser scanning microscope
  • Data and image analysis using proprietary packages in R
  • Bachelor thesis on heavy ion therapy
• 2012 - 2013: Working Student at SAP SE
  • Automation of tests using eCATT scripting
  • Development of ABAP unit tests

Education

• Dr. oec. publ. in Innovation Economics, University of Munich, 2021
  • Area of studies: Standard-esssential patents, technical standards
• Master of Business Research (M.B.R.), University of Munich, 2019
  • Area of studies: Big data analytics, data crawling, NLP, data mining
• M.Sc. in Economics, Heidelberg University, 2016
  • Study abroad: Chinese University of Hong Kong, 2015
  • Area of studies: econometrics, industrial organization
• B.Sc. in Physics, Heidelberg University, 2013
  • Study abroad: University of Manchester, 2011-2012
  • Area of studies: medical physics, biophysics

IT-Skills

Advanced: +++, intermediate: ++, beginner: +

Tools and programming languages

• R (+++), Python (++), C (+), C++ (+), Java (+), Matlab (+), ABAP (+)
• MySQL (++), MSSQL (+)
• Stata (++), Excel (++)
• AWS EC2 (++)
• CSS (+), HTML (+)
• LaTeX (++)
• Ubuntu (+)

Frameworks:

• R:
  • shiny: shiny, golem, shiny.fluent, shiny.router, shiny.react, shinydashboard, shinydashboardPlus, shinyjs, shinyBS, shinyalert, htmltools, DataTables
  • data manipulation/handling: data.table, tidyverse/dyplr, lubridate, zoo, stringr, jsonlite, Hmisc, tesseract, xlsx, randomizr, foreign, haven, pdftools, readxl, geosphere
  • data visualization: ggplot2, echarts4r, coefplot, ggmap, igraph, graphlayouts, graph, tidygraph, maptools, maps, ggmap
  • (data) engineering: devtools, testthat, rvest, httr, DBI, RMySQL
  • ML: caret, xgboost, keras, ranger, e1071
  • NLP: tm, topicmodels, stringdist
  • statistics: stats, fixest, icdglm
  • parallelization: doParallel, foreach
  • other: xts, PerformanceAnalytics, quantmod, jrvFinance, …
• Python:
  • data manipulation: pandas, numpy, random
  • data engineering: beautifulsoup, selenium, requests, mysql.connector, json, urllib
  • data visualization: matplotlib
  • ML: scikit-learn, keras
  • NLP: spacy
  • Other: math, email.mime, smtplib, csv, re, …